This notebook contains a set of analyses for analyzing jimmyhill27’s boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine predictive models trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
jimmyhill27 | training | published before 2020 | 64 | 0 |
jimmyhill27 | validation | published 2020 | 2 | 0 |
jimmyhill27 | test | published after 2020 | 3 | 0 |
The main outcome we will be modeling for the user is owned, which refers to whether the user currently owns or has a previously owned a game in their collection. Our goal is to train a predictive model to learn the probability that a user will add a game to their collection based on its observable features. This amounts to looking at historical data and looking to find patterns that exist between features of games and games present in the user’s collection.
One of the models we trained was a decision tree, which looks for decision rules that can be used to separate games the user owns from games they don’t. The resulting model produces a decision corresponding to yes or no statements: to explain why the model predicts the user to own game, we start at the top of the tree and follow the rules that were learned from the training data.
Note: the tree below has been further pruned to make it easier to visualize.
Decision trees are highly interpretible models that are easy to train and can identify important interactions and nonlinearities present in the data. Individual trees have the drawback of being less predictive than other common models, but it can be useful to look at them to gain some understanding of key predictors and relationships found in the training data.
We can examine coefficients from another model we trained, which is a logistic regression with elastic net regularization (which I will refer to as a penalized logistic regression). Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability. To be precise, the coefficients indicate the effect of a particular feature on the log-odds of a user owning a game.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | User_Collection | All_Games | Ratio |
jimmyhill27 | Unknown | 12.5% | 0.9% | 14.68 |
jimmyhill27 | Pegasus Spiele | 20.3% | 2.2% | 9.32 |
jimmyhill27 | Asmodee | 18.8% | 2.6% | 7.24 |
jimmyhill27 | Race | 6.2% | 1.0% | 6.29 |
jimmyhill27 | Hasbro | 15.6% | 2.9% | 5.33 |
jimmyhill27 | Take That | 26.6% | 5.1% | 5.22 |
jimmyhill27 | Combinatorial | 7.8% | 1.6% | 4.80 |
jimmyhill27 | Trading | 12.5% | 3.0% | 4.20 |
jimmyhill27 | Video Game Theme | 6.2% | 1.5% | 4.17 |
jimmyhill27 | Network And Route Building | 9.4% | 2.5% | 3.73 |
jimmyhill27 | Horror | 10.9% | 3.1% | 3.54 |
jimmyhill27 | Hand Management | 51.6% | 20.1% | 2.56 |
jimmyhill27 | Animals | 3.1% | 6.1% | 0.51 |
jimmyhill27 | Teambased Game | 1.6% | 4.7% | 0.33 |
jimmyhill27 | Childrens Game | 0.0% | 8.0% | 0.00 |
jimmyhill27 | Alderac Entertainment Group | 0.0% | 0.8% | 0.00 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
Displaying the 100 games from the training set with the highest probability of ownership, highlighting in blue games the user has owned.
Rank | Published | ID | Name | Pr(Owned) | Owned |
1 | 2010 | 65907 | Mystery Express | 0.876 | no |
2 | 2009 | 53804 | Cir*Kis | 0.836 | no |
3 | 2011 | 70919 | Takenoko | 0.789 | yes |
4 | 1887 | 15878 | Rummy | 0.661 | no |
5 | 1800 | 45 | Perudo | 0.536 | no |
6 | 1959 | 7688 | Memory | 0.457 | no |
7 | 2015 | 177639 | Raptor | 0.391 | no |
8 | 2011 | 73538 | Pirate Fluxx | 0.343 | no |
9 | 2004 | 9220 | Saboteur | 0.324 | yes |
10 | 2011 | 94915 | Munchkin Axe Cop | 0.323 | no |
11 | 2000 | 1445 | Canasta Caliente | 0.301 | no |
12 | 2000 | 3020 | Monopoly: Looney Tunes | 0.279 | no |
13 | 1971 | 2223 | UNO | 0.271 | no |
14 | 2010 | 68448 | 7 Wonders | 0.270 | no |
15 | 2019 | 253344 | Cthulhu: Death May Die | 0.268 | no |
16 | 2018 | 205896 | Rising Sun | 0.263 | no |
17 | 2004 | 10547 | Betrayal at House on the Hill | 0.259 | no |
18 | 2008 | 33107 | Senji | 0.258 | no |
19 | 2017 | 233078 | Twilight Imperium: Fourth Edition | 0.257 | no |
20 | 2014 | 160434 | Robin | 0.249 | no |
21 | 2019 | 266936 | Slyville | 0.244 | no |
22 | 2002 | 3269 | Clue: The Card Game | 0.243 | no |
23 | 1850 | 2093 | Mahjong | 0.231 | no |
24 | 1893 | 2386 | Chinese Checkers | 0.223 | no |
25 | 1948 | 320 | Scrabble | 0.220 | no |
26 | 1996 | 3528 | Priceless | 0.216 | no |
27 | 2016 | 187645 | Star Wars: Rebellion | 0.214 | no |
28 | 2009 | 42444 | Batt'l Kha'os | 0.209 | no |
29 | 1500 | 2394 | Dominoes | 0.199 | no |
30 | 2000 | 2453 | Blokus | 0.196 | no |
31 | 1967 | 3656 | Score Four | 0.182 | no |
32 | 2013 | 147523 | Risk: Battlefield Rogue | 0.174 | no |
33 | 2002 | 3699 | Killer Bunnies and the Quest for the Magic Carrot | 0.173 | no |
34 | 2008 | 30549 | Pandemic | 0.172 | yes |
35 | 2010 | 98778 | Hanabi | 0.170 | yes |
36 | 2006 | 22999 | 25 Words or Less: People, Places and Things Edition | 0.170 | no |
37 | 1982 | 5638 | Monopoly Playmaster | 0.166 | no |
38 | 2012 | 123540 | Tokaido | 0.165 | yes |
39 | 2013 | 124548 | The Doom That Came to Atlantic City | 0.164 | no |
40 | 2012 | 113924 | Zombicide | 0.163 | no |
41 | 2014 | 150376 | Dead of Winter: A Crossroads Game | 0.159 | no |
42 | 2015 | 174973 | Boss Monster 2: The Next Level | 0.156 | yes |
43 | 2018 | 233020 | Fireball Island: The Curse of Vul-Kar | 0.155 | no |
44 | 2007 | 24310 | The Red Dragon Inn | 0.149 | no |
45 | 2007 | 29676 | Monopoly: Tropical Tycoon DVD Game | 0.148 | no |
46 | 2001 | 1927 | Munchkin | 0.148 | yes |
47 | 2017 | 215312 | Stop Thief! | 0.146 | no |
48 | 2017 | 221805 | Breaking Bad: The Board Game | 0.143 | no |
49 | 2012 | 131357 | Coup | 0.143 | no |
50 | 2018 | 209324 | The World of SMOG: Rise of Moloch | 0.139 | no |
51 | 2015 | 172242 | Exploding Kittens: NSFW Deck | 0.137 | no |
52 | 2019 | 257700 | Munchkin Warhammer 40,000 | 0.136 | no |
53 | 2018 | 258140 | Les Aventuriers du Rail Express | 0.136 | no |
54 | 2018 | 210660 | Castellum: Maastricht | 0.135 | no |
55 | -2200 | 188 | Go | 0.128 | no |
56 | 2001 | 72644 | Perplexus | 0.127 | no |
57 | 1475 | 171 | Chess | 0.125 | yes |
58 | 2010 | 64656 | Wampum | 0.125 | no |
59 | 1979 | 5777 | Electronic Detective | 0.123 | no |
60 | 2019 | 285984 | Last Bastion | 0.121 | no |
61 | 2009 | 42490 | Pony Express | 0.120 | no |
62 | 1956 | 2243 | Yahtzee | 0.114 | no |
63 | 1995 | 1343 | Mad Monks and Relics | 0.112 | no |
64 | 1992 | 431 | Alhambra: The Card Game | 0.112 | no |
65 | 2017 | 197070 | Massive Darkness | 0.112 | no |
66 | 2016 | 216482 | High Tide | 0.111 | no |
67 | 2011 | 104617 | Little Dead Riding Hood | 0.110 | no |
68 | 2014 | 168215 | Saboteur: The Duel | 0.108 | yes |
69 | 2016 | 177590 | 13 Days: The Cuban Missile Crisis | 0.107 | no |
70 | -1300 | 11901 | Tic-Tac-Toe | 0.106 | no |
71 | 2018 | 256375 | Star Wars: I've Got a Bad Feeling About This! | 0.105 | no |
72 | 2019 | 251723 | Zombicide: Dark Side | 0.105 | no |
73 | 2016 | 207336 | Honshū | 0.105 | no |
74 | 1997 | 258 | Fluxx | 0.104 | no |
75 | 1994 | 18 | RoboRally | 0.104 | no |
76 | 1974 | 2719 | Connect Four | 0.104 | no |
77 | 2018 | 249833 | Monopoly Gamer: Mario Kart | 0.103 | no |
78 | 2012 | 120677 | Terra Mystica | 0.102 | no |
79 | 1992 | 118 | Modern Art | 0.102 | no |
80 | 2018 | 253284 | Ticket to Ride: New York | 0.100 | no |
81 | 2019 | 276894 | Ticket to Ride: London | 0.100 | no |
82 | 2013 | 134453 | The Little Prince: Make Me a Planet | 0.098 | no |
83 | 1750 | 9851 | Shut the Box | 0.097 | no |
84 | 1861 | 11670 | The Game of Authors | 0.097 | no |
85 | 2010 | 62871 | Zombie Dice | 0.092 | no |
86 | 2001 | 2471 | Zombies!!! | 0.091 | no |
87 | 2014 | 148228 | Splendor | 0.090 | no |
88 | 2016 | 177802 | Smash Up: It's Your Fault! | 0.089 | no |
89 | 2016 | 203719 | Krosmaster Arena 2.0 | 0.088 | no |
90 | 2016 | 194075 | Vroom Vroom | 0.088 | no |
91 | 2010 | 25292 | Merchants & Marauders | 0.086 | no |
92 | 2018 | 255664 | The Binding of Isaac: Four Souls | 0.086 | no |
93 | 1959 | 181 | Risk | 0.085 | no |
94 | 2019 | 256729 | Wacky Races: The Board Game | 0.084 | yes |
95 | 2005 | 16933 | Super Munchkin | 0.081 | no |
96 | 2018 | 246742 | Château Aventure | 0.081 | no |
97 | 2017 | 220141 | Munchkin Shakespeare Deluxe | 0.081 | no |
98 | 2016 | 192945 | Coal Baron: The Great Card Game | 0.080 | no |
99 | 1990 | 352 | Trumpet | 0.078 | no |
100 | 1972 | 10471 | The Franco-Prussian War: August 1 to September 2, 1870 | 0.078 | no |
This section contains a variety of visualizations and metrics for assessing the performance of the model(s) during resampling. If you’re not particularly interested in predictive modeling, skip down further to the predictions from the model.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can more formally assess how well each model did in resampling by looking at the area under the receiver operating characteristic curve. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
wflow_id | .metric | .estimator | .estimate |
GLM | roc_auc | binary | 0.86 |
Decision Tree | roc_auc | binary | 0.66 |
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
While we are probably more interested in the lift provided by the models to evaluate their efficacy, we can also explore the optimal cutpoint if we wanted to define a hard threshold for identifying games a user will own vs not own.
The threshold we select depends on how we much we care about false positives (games the model predicts that the user does not own) vs false negatives (games the user owns that the model does not predict). We can toggle threshold to
Finally, we can understand the performance of the model by examining its calibration. If the model assigns a probability of 5%, how often does the outcome actually occur? A well calibrated model is one in which the predicted probabilities reflect the probabilities we would observe in the actual data. We can assess the calibration of a model by grouping its predictions into bins and assessing how often we observe the outcome versus how often our model expects to observe the outcome.
A model that is well calibrated will closely follow the dashed line - its expected probabilities match that of the observed probabilities. A model that consistently underestimates the probability of the event will be over this dashed line, be a while a model that overestimates the probability will be under the dashed line.
What games does the model think jimmyhill27 is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2010 | 65907 | Mystery Express | 0.876 | no |
2009 | 53804 | Cir*Kis | 0.836 | no |
1887 | 15878 | Rummy | 0.661 | no |
1800 | 45 | Perudo | 0.536 | no |
1959 | 7688 | Memory | 0.457 | no |
What games does the model think jimmyhill27 is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2019 | 269207 | The Taverns of Tiefenthal | 0.000 | yes |
2012 | 130592 | Clue | 0.001 | yes |
2013 | 146021 | Eldritch Horror | 0.001 | yes |
2009 | 40692 | Small World | 0.001 | yes |
2018 | 244521 | The Quacks of Quedlinburg | 0.001 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | Tokaido | Risk: Battlefield Rogue | Robin | Raptor | Star Wars: Rebellion | Twilight Imperium: Fourth Edition | Rising Sun | Cthulhu: Death May Die |
2 | Zombicide | The Doom That Came to Atlantic City | Dead of Winter: A Crossroads Game | Boss Monster 2: The Next Level | High Tide | Stop Thief! | Fireball Island: The Curse of Vul-Kar | Slyville |
3 | Coup | The Little Prince: Make Me a Planet | Saboteur: The Duel | Exploding Kittens: NSFW Deck | 13 Days: The Cuban Missile Crisis | Breaking Bad: The Board Game | The World of SMOG: Rise of Moloch | Munchkin Warhammer 40,000 |
4 | Terra Mystica | Terror in Meeple City | Splendor | Termity | Honshū | Massive Darkness | Les Aventuriers du Rail Express | Last Bastion |
5 | Descent: Journeys in the Dark (Second Edition) | Smash Up: Awesome Level 9000 | Tide of Iron: Next Wave | Guns & Steel | Smash Up: It's Your Fault! | Munchkin Shakespeare Deluxe | Castellum: Maastricht | Zombicide: Dark Side |
6 | Smash Up | City of Remnants | Knockout | Smash Up: Munchkin | Krosmaster Arena 2.0 | Super Mario Bros. Power Up Card Game | Star Wars: I've Got a Bad Feeling About This! | Ticket to Ride: London |
7 | Qin | Boss Monster: The Dungeon Building Card Game | Smash Up: Science Fiction Double Feature | March of the Ants | Vroom Vroom | Stranger Things: Eggo Card Game | Monopoly Gamer: Mario Kart | Wacky Races: The Board Game |
8 | Yedo | Zombicide Season 2: Prison Outbreak | Nations: The Dice Game | Jolly Roger: The Game of Piracy & Mutiny | Coal Baron: The Great Card Game | Unfair | Ticket to Ride: New York | Unmatched: Robin Hood vs. Bigfoot |
9 | Wallenstein (Second Edition) | Rococo | Vampir Mau Mau | Plums | Pandemic: Reign of Cthulhu | Xenofera | The Binding of Isaac: Four Souls | KeyForge: Age of Ascension |
10 | Pixel Tactics | Munchkin Pathfinder | Student Bodies | The Little Prince: Rising to the Stars | Arkham Horror: The Card Game | Pandemic Legacy: Season 2 | Château Aventure | Tapestry |
11 | The Manhattan Project | Coal Baron | AquaSphere | 504 | Robo Rally | Bears vs Babies | KeyForge: Call of the Archons | Unmatched Game System |
12 | Uncharted: The Board Game | Room 25 | Bedpans & Broomsticks | Pandemic Legacy: Season 1 | No Game Over | Monopoly Gamer | Zombicide: Green Horde | Monopoly Gamer: Sonic The Hedgehog |
13 | Munchkin Conan | Legacy: The Testament of Duke de Crecy | Age of War | Zombicide: Black Plague | Citadels | Raxxon | Betrayal Legacy | All Manor of Evil |
14 | Clash of Cultures | Cappuccino | Relic Expedition | Dale of Merchants | Camel Up Cards | Ticket to Ride: First Journey (Europe) | Castle Rampage | Imperial Settlers: Empires of the North |
15 | Robinson Crusoe: Adventures on the Cursed Island | Zpocalypse | Star Wars: Imperial Assault | Свинтус Зомби | Quadropolis | Masmorra: Dungeons of Arcadia | Luxor | Amul |
16 | Monopoly: Doctor Who 50th Anniversary Collectors Edition | Risk: The Walking Dead – Survival Edition | Onitama | Munchkin Steampunk | Dead of Winter: The Long Night | Smash Up: Big in Japan | Boss Monster: Rise of the Minibosses | Nova Luna |
17 | Crazy Creatures of Dr. Gloom | Village in a Box | Samurai Spirit | The Voyages of Marco Polo | Codex: Card-Time Strategy – Deluxe Set | Downforce | Crown of Emara | Zombicide: Invader |
18 | Libertalia | Jungle Ascent | Japanese: The Game | Council of 4 | The Oregon Trail Card Game | Plague Inc.: The Board Game | Flaming Pyramids | Victorian Masterminds |
19 | Cthulhu Fluxx | Primate Fear | Sheep & Thief | Bang! The Dice Game: The Walking Dead | Welcome Back to the Dungeon | Complicated Board Game the Card Game | Everdell | Century: A New World |
20 | The Big Bang Theory: The Party Game | Fluxx: The Board Game | Video Game High School | Monopoly: Marvel Avengers | Great Western Trail | Attack on Titan: The Last Stand | The Faceless | The King of All Bards |
21 | Kemet | Malifaux (Second Edition) | Alpha Bandits | Star Wars: X-Wing Miniatures Game – The Force Awakens Core Set | Smash Up: Cease and Desist | Azul | Neon Gods | 5211 |
22 | Mice and Mystics | Old World New World | King of New York | Cthulhu Wars | Cry Havoc | Pyramid of the Sun | Loser | Aftermath |
23 | Baden-Württemberg Catan | Glass Road | Onirim (Second Edition) | My Village | Uno: Super Mario | Ticket to Ride: Germany | The Walking Dead: No Sanctuary | Armata Strigoi |
24 | Guildhall | Smash Up: The Obligatory Cthulhu Set | Akrotiri | The Grizzled | Monsters Party: Voodoo Madness | Unstable Unicorns | Fallout: Wasteland Warfare | Bad Bones |
25 | Zug um Zug: Deutschland | Monster Fluxx | Zombies Keep Out | Exploding Kittens | Conan | This War of Mine: The Board Game | Re-Chord | Oriflamme |
This is an interactive table for the model’s predictions for the training set (from resampling).
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2020?
username | outcome | dataset | method | .metric | .estimate |
jimmyhill27 | owned | validation | Decision Tree | roc_auc | 0.451 |
jimmyhill27 | owned | validation | GLM | roc_auc | 0.414 |
Table of top 50 games from 2020, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 316377 | 7 Wonders (Second Edition) | 0.186 | no |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.173 | no |
2020 | 294484 | Unmatched: Cobble & Fog | 0.116 | no |
2020 | 284777 | Unmatched: Jurassic Park – InGen vs Raptors | 0.115 | no |
2020 | 315060 | Unmatched: Buffy the Vampire Slayer | 0.070 | no |
2020 | 325635 | Unmatched: Little Red Riding Hood vs. Beowulf | 0.067 | no |
2020 | 298572 | Cosmic Encounter Duel | 0.052 | no |
2020 | 309113 | Ticket to Ride: Amsterdam | 0.043 | no |
2020 | 327371 | Psycho Killer | 0.033 | no |
2020 | 304420 | Bonfire | 0.029 | no |
2020 | 311751 | I Am Death Now? | 0.025 | no |
2020 | 236861 | Full Moon Jacket | 0.024 | no |
2020 | 306481 | Tawantinsuyu: The Inca Empire | 0.023 | no |
2020 | 300001 | Renature | 0.022 | no |
2020 | 302417 | Mia London and the Case of the 625 Scoundrels | 0.022 | no |
2020 | 298638 | Sheriff of Nottingham: 2nd Edition | 0.020 | no |
2020 | 301607 | KeyForge: Mass Mutation | 0.020 | no |
2020 | 302465 | Obsidia | 0.020 | no |
2020 | 301919 | Pandemic: Hot Zone – North America | 0.019 | no |
2020 | 311193 | Anno 1800 | 0.019 | no |
2020 | 256317 | Guild Master | 0.017 | no |
2020 | 289850 | Dwar7s Spring | 0.017 | no |
2020 | 315196 | Dungeons & Dragons: Adventure Begins | 0.017 | no |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.016 | no |
2020 | 324963 | Pac-Man: The Card Game | 0.016 | no |
2020 | 313274 | Alhambra: Roll & Write | 0.016 | no |
2020 | 272533 | Kingdom Rush: Rift in Time | 0.016 | no |
2020 | 256999 | Project: ELITE | 0.015 | no |
2020 | 259061 | Skytear | 0.015 | no |
2020 | 298018 | Memorinth | 0.015 | no |
2020 | 318392 | Star Trek: Voyager Fluxx | 0.014 | no |
2020 | 302421 | SpongeBob SquarePants Fluxx | 0.014 | no |
2020 | 246911 | Streets Of Steel: Kickin' Asphalt | 0.014 | no |
2020 | 245659 | Vampire: The Masquerade – Vendetta | 0.014 | no |
2020 | 298147 | Einer geht noch! | 0.014 | no |
2020 | 293556 | Gloomy Graves | 0.013 | no |
2020 | 287088 | Block Happy | 0.013 | no |
2020 | 313850 | Escape The Night: The Board Game | 0.013 | no |
2020 | 320505 | Mattock | 0.013 | no |
2020 | 301880 | Raiders of Scythia | 0.012 | no |
2020 | 300011 | Save The Dragon | 0.012 | no |
2020 | 300010 | Dragomino | 0.012 | no |
2020 | 299252 | Here to Slay | 0.012 | no |
2020 | 293309 | Kraken Attack! | 0.012 | no |
2020 | 313261 | Oriflamme: Ablaze | 0.012 | no |
2020 | 290025 | Astronomy Fluxx | 0.011 | no |
2020 | 299800 | Escape Tales: Children of Wyrmwoods | 0.011 | no |
2020 | 299592 | Beez | 0.011 | no |
2020 | 289939 | Goblin Teeth | 0.011 | no |
2020 | 260410 | Horizon Zero Dawn: The Board Game | 0.011 | no |
We can then refit our model to the training and validation set in order to predict all upcoming games for the user.
Examine the top 100 upcoming games, highlighting in blue ones the user already owns.
Published | ID | Name | Pr(Owned) | Owned |
2021 | 339906 | The Hunger | 0.322 | no |
2021 | 273330 | Bloodborne: The Board Game | 0.111 | no |
2022 | 331106 | The Witcher: Old World | 0.110 | no |
2021 | 342848 | World of Warcraft: Wrath of the Lich King | 0.109 | no |
2022 | 347703 | First Rat | 0.074 | no |
2021 | 320136 | Naruto: Ninja Arena | 0.073 | no |
2022 | 275215 | Namiji | 0.071 | no |
2022 | 275284 | Arkeis | 0.069 | no |
2022 | 310873 | Carnegie | 0.062 | no |
2021 | 332944 | Sobek: 2 Players | 0.048 | no |
2021 | 300148 | Spy Connection | 0.041 | no |
2021 | 331635 | Kameloot | 0.039 | no |
2021 | 344277 | Corrosion | 0.038 | no |
2021 | 304783 | Hadrian's Wall | 0.038 | no |
2021 | 318996 | Welcome to Sysifus Corp | 0.036 | no |
2022 | 335764 | Unmatched: Battle of Legends, Volume Two | 0.036 | no |
2021 | 340466 | Unfathomable | 0.035 | no |
2021 | 293835 | Oltréé | 0.033 | no |
2023 | 351817 | Marvel Zombies: A Zombicide Game | 0.033 | no |
2021 | 345976 | System Gateway (fan expansion for Android: Netrunner) | 0.033 | no |
2022 | 342070 | Thunder Road: Vendetta | 0.032 | no |
2022 | 311988 | Frostpunk: The Board Game | 0.030 | no |
2021 | 256680 | Return to Dark Tower | 0.029 | no |
2021 | 264164 | Night of the Living Dead: A Zombicide Game | 0.027 | no |
2021 | 304324 | Dive | 0.026 | no |
2022 | 284842 | So, You've Been Eaten | 0.026 | no |
2022 | 315610 | Massive Darkness 2: Hellscape | 0.023 | no |
2022 | 321608 | Hegemony: Lead Your Class to Victory | 0.022 | no |
2021 | 339263 | Summoner Wars (Second Edition): Starter Set | 0.022 | no |
2021 | 334644 | Nicodemus | 0.021 | no |
2021 | 301366 | Caves of Rwenzori | 0.021 | no |
2021 | 328479 | Living Forest | 0.021 | no |
2021 | 346703 | 7 Wonders: Architects | 0.020 | no |
2021 | 342073 | Berried Treasure | 0.019 | no |
2021 | 335541 | We Care: a Grizzled Game | 0.019 | no |
2021 | 332800 | Summoner Wars (Second Edition) | 0.019 | no |
2021 | 340041 | Kingdomino Origins | 0.019 | no |
2021 | 316080 | KeyForge: Dark Tidings | 0.019 | no |
2021 | 280994 | Shovel Knight: Dungeon Duels | 0.018 | no |
2021 | 346143 | The Game of Life: Super Mario Edition | 0.018 | no |
2021 | 331787 | Tiny Epic Dungeons | 0.017 | no |
2021 | 334782 | Bayou Bash | 0.017 | no |
2022 | 305096 | Endless Winter: Paleoamericans | 0.016 | no |
2021 | 333144 | Stronghold: Undead (Second Edition) | 0.016 | no |
2021 | 331328 | Unsurmountable | 0.016 | no |
2021 | 339789 | Welcome to the Moon | 0.016 | no |
2022 | 293941 | Mage Noir | 0.016 | no |
2022 | 345584 | Mindbug | 0.015 | no |
2021 | 304333 | Zoollywood | 0.015 | no |
2021 | 258049 | District 9: The Boardgame | 0.015 | no |
2021 | 291859 | Riftforce | 0.015 | no |
2021 | 342246 | Feuding Foodies | 0.015 | no |
2021 | 329670 | Pandemic: Hot Zone – Europe | 0.015 | no |
2021 | 341164 | Exploding Minions | 0.014 | no |
2021 | 288385 | Masters of the Night | 0.014 | no |
2021 | 325409 | Fantasy Fluxx | 0.013 | no |
2021 | 334784 | Wonderland Fluxx | 0.013 | yes |
2021 | 306202 | Philosophia: Floating World | 0.012 | no |
2021 | 304666 | Wild Life: The Card Game | 0.012 | no |
2022 | 349067 | The Lord of the Rings: The Card Game – Revised Core Set | 0.012 | no |
2021 | 306637 | Resident Evil 3: The Board Game | 0.012 | no |
2021 | 348461 | Castle Break | 0.012 | no |
2021 | 342942 | Ark Nova | 0.011 | no |
2021 | 329082 | Radlands | 0.011 | no |
2023 | 347909 | Rogue Angels: Legacy of the Burning Suns | 0.011 | no |
2021 | 325414 | Happy Little Dinosaurs | 0.011 | no |
2022 | 346199 | A Game of Thrones: B'Twixt | 0.011 | no |
2021 | 257305 | SHASN | 0.010 | no |
2021 | 285967 | Ankh: Gods of Egypt | 0.010 | no |
2021 | 282700 | LOOP: Life of Ordinary People | 0.010 | no |
2022 | 324413 | Doomlings | 0.010 | no |
2021 | 315234 | Embarcadero | 0.010 | no |
2022 | 328866 | My Father's Work | 0.010 | no |
2021 | 341358 | INSERT | 0.010 | no |
2021 | 261246 | Tiny Ninjas Heroes | 0.010 | no |
2021 | 325829 | Let's Summon Demons | 0.009 | no |
2021 | 249277 | Brazil: Imperial | 0.009 | no |
2021 | 286751 | Zombicide: 2nd Edition | 0.009 | no |
2021 | 239175 | Shiver Me Timbers | 0.009 | no |
2022 | 299594 | Megapulse | 0.009 | no |
2021 | 275557 | The Last Bottle of Rum | 0.009 | no |
2021 | 319792 | Fly-A-Way | 0.009 | no |
2021 | 339790 | Cocktail | 0.009 | no |
2021 | 338980 | Eastern Empires | 0.009 | no |
2021 | 299255 | Vienna Connection | 0.009 | no |
2022 | 320718 | Hidden Leaders | 0.008 | no |
2021 | 277565 | Ashes to Ashes | 0.008 | no |
2022 | 251198 | Lost Ones | 0.008 | no |
2021 | 329713 | Dune: House Secrets | 0.008 | no |
2022 | 281258 | Sub Terra II: Inferno's Edge | 0.008 | no |
2021 | 260789 | Assassin's Creed: Brotherhood of Venice | 0.008 | no |
2022 | 277025 | Vampire: The Masquerade – Chapters | 0.008 | no |
2021 | 315221 | Vampire: The Masquerade – Rivals Expandable Card Game | 0.008 | no |
2022 | 254127 | Europa Universalis: The Price of Power | 0.008 | no |
2022 | 339592 | Sheep in Disguise | 0.008 | no |
2022 | 295770 | Frosthaven | 0.008 | no |
2021 | 339905 | Love Letter: Princess Princess Ever After | 0.008 | no |
2021 | 297562 | Kemet: Blood and Sand | 0.008 | no |
2021 | 332075 | Warhammer Quest: Cursed City | 0.008 | no |
2021 | 322588 | Origins: First Builders | 0.008 | no |